Circa

홈페이지 · 논문 2편

The Circa (meaning ‘approximately’) dataset aims to help machine learning systems to solve the problem of interpreting indirect answers to polar questions. The dataset contains pairs of yes/no questions and indirect answers, together with annotations for the interpretation of the answer. The data is collected in 10 different social conversational situations (eg. food preferences of a friend). Examples: `` Q: Are you vegan? A: I love burgers too much. [No] Q: Do you like spicy food? A: I put hot sauce on everything. [Yes] Q: Would you like to go see live music? A: If it’s not too crowded. [Yes, upon a condition] `` Currently, the Circa annotations focus on a few classes such as ‘yes’, ‘no’ and ‘yes, upon condition’. The data can be used to build machine learning models which can replicate these classes on new question-answer pairs, and allow evaluation of methods for doing so. Source: Circa